System and method for understanding influencer reach within an augmented media intelligence ecosystem
Aspects of the present disclosure involve systems, methods, devices, and the like for augmented media intelligence using Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), data analytics and data visualization. In one embodiment, a system is introduced that can retrieve real-time data from social media platforms to perform augmented media intelligence analysis and take real time actions if necessary. In another embodiment, the augmented media intelligence is design to use the machine learning and natural language processing capabilities and social currency means for understanding an influencers reach within the augmented media intelligence system via an influencer score.
1. A system comprising:
a non-transitory memory storing instructions; and
a processor configured to execute the instructions to cause the system to:
in response to a determination that new data associated with a social media post published on a social media platform by an influencer profile is available for processing, retrieve real-time digital data corresponding to the social media post and the influencer profile;
classify the real-time digital data retrieved;
extract influencer factors from the classified real-time digital data, wherein the influencer factors comprise:
a momentum calculated based on a user engagement with the social media post in relation to a predetermined period of time, and
a reach of the influencer relative to each region of a plurality of regions corresponding to a country, wherein the reach is based on a number of users that engage with the social media post for each region, and wherein the momentum and the reach each has a predetermined weight in a weighted average of the influencer factors used to calculate an influencer score for each region;
calculate the influencer score for each region based on a combination of the real-time digital data retrieved and the influencer factors having the predetermined weights in the weighted average of the influencer factors;
generate a performance report for the influencer profile based on the calculated influencer score and the real-time digital data retrieved; and
present, on an interactive user interface of the system, the performance report generated.
2. The system of claim 1 , wherein the influencer factors further comprise at least one of a user engagement with the influencer profile, a number of publications to the social media platform by the influencer profile, a number of impressions associated with the social media post, and a number of followers of the influence profile.
3. The system of claim 1 , wherein executing the instructions further causes the system to:
correlate publications by the influencer profile; and
present the correlated publications in the generated performance report.
4. The system of claim 1 , wherein the performance report includes an influencer identification number, the influencer identification number providing a rank of the influencer profile.
5. The system of claim 4 , wherein the performance report is presented as a social currency of the influencer profile.
6. The system of claim 1 , wherein the performance report includes a regional map illustrating one or more regions that have a maximum user engagement with the social media post.
7. The system of claim 1 , wherein the momentum is presented in the performance report.
8. A method comprising:
in response to a determination that new data associated with a social media post published on a social media platform by an influencer profile is available for processing, retrieving real-time digital data corresponding to the social media post and the influencer profile;
classifying the real-time digital data retrieved;
extracting influencer factors from the classified real-time digital data, wherein the influencer factors comprise:
a momentum based on a user engagement with the social media post over a predetermined period of time, and
a reach of the influencer relative to each region of a plurality of regions corresponding to a country, wherein the reach is based on a number of users that engage with the social media post for each region, wherein the momentum and the reach each has a predetermined weight in a weighted average of the influencer factors used to calculate an influencer score for each region;
calculating the influencer score for each region based on a combination of the real-time digital data retrieved and the influencer factors having the predetermined weights in the weighted average of the influencer factors;
generating a performance report corresponding to influencer profile based on the calculated influencer score and the real-time digital data retrieved; and
presenting, on an interactive user interface, the performance report generated.
9. The method of claim 8 , wherein the influencer factors further comprise at least one of a user engagement with the influencer profile, a number of publications to the social media platform made by the influencer profile, a number of impressions associated with the social media post, or a number of followers of the influencer profile.
10. The method of claim 8 , further comprising:
correlating publications to the social media platform made by the influencer profile, wherein the correlated publications are included in the performance report generated.
11. The method of claim 8 , wherein the performance report includes an influencer identification number, wherein the influencer identification number indicates a rank of the influencer profile relative to other influencer profiles.
12. The method of claim 11 , wherein the performance report is presented as a social currency of the influencer profile.
13. The method of claim 8 , wherein the performance report includes a regional map illustrating a geographical region that corresponds to a maximum user engagement with the social media post on the social media platform.
14. The method of claim 8 , wherein the presenting, on an interactive user interface, the performance report comprises plotting the momentum in the interactive user interface.
15. A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
in response to a determination that new data associated with a social media post published on a social media platform by an influencer profile is available for processing, retrieving real-time digital data corresponding to the social media post and the influencer profile;
classifying the real-time digital data retrieved;
extracting influencer factors from the classified real-time digital data, wherein the influencer factors comprise:
a momentum calculated based on a user engagement with the social media post in relation to a predetermined period of time, and
a reach of the influencer relative to each region of a plurality of regions of a country, wherein the reach is based on a number of users that engage with the social media post for each region, and wherein the momentum and the reach each has a predetermined weight in a weighted average of the influencer factors used to calculate an influencer score for each region;
calculating the influencer score for each region based on a combination of the real-time digital data retrieved and the influencer factors having the predetermined weights in the weighted average of influencer factors;
generating a performance report corresponding to influencer profile based on the calculated influencer score and the real-time digital data retrieved; and
presenting, on an interactive user interface, the performance report generated.
16. The non-transitory medium of claim 15 , wherein the influencer factors further comprise at least one of a user engagement with the influencer profile, a number of publications to the social media platform made by the influencer profile, a number of impressions associated with the social media post, or a number of followers of the influencer profile.
17. The non-transitory medium of claim 15 , wherein the operations further comprise:
correlating publications to the social media platform made by the influencer profile, wherein the correlated publications are included in the performance report generated.
18. The non-transitory medium of claim 15 , wherein the performance report includes an influencer identification number, wherein the influencer identification number indicates a rank of the influencer profile relative to other influencer profiles.
19. The non-transitory medium of claim 18 , wherein the performance report is presented as a social currency of the influencer profile.
20. The non-transitory medium of claim 15 , wherein the operations further comprise presenting a graph of the momentum on the interactive user interface.